Find the 1) interquartile range 2) mean deviation 3) Variance Of this data set Edit2:27 PM A OData set OneResults below represent caloric content of different foods390 405 580 300 320540 225 720 470560535 660 530290 440390 675 5301010 450320 460 290 340 610430530 330 295 410DODOToolsMobile ViewShareⒸ8824.4Stall K/S490xWord Count: 188Edit on PC School Tools

Answered: Data set One Results below represent…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Find the 1) interquartile range 2) mean deviation 3) Variance Of this data set

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2:27 PM A O
Data set One
Results below represent caloric content of different foods
390 405 580 300 320
540 225 720 470
560
535 660 530
290 440
390 675 530
1010 450
320 460 290 340 610
430
530 330 295 410
DO
DO
Tools
Mobile View
Share
Ⓒ
88
24.4
Stall K/S
4
90
x
Word Count: 188
Edit on PC School Tools

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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